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Highlights
• NPM1/NPM1c induce the autophagy-lysosome pathway by activating the master regulator TFEB
• NPM1/NPM1c bind to GABARAP proteins via an atypical module in their N-terminal regions
• The pro-autophagic activity of NPM1c depends on this GABARAP binding module
Summary
The nucleolar scaffold protein NPM1 is a multifunctional regulator of cellular homeostasis, genome integrity, and stress response. NPM1 mutations, known as NPM1c variants promoting its aberrant cytoplasmic localization, are the most frequent genetic alterations in acute myeloid leukemia (AML). A hallmark of AML cells is their dependency on elevated autophagic flux. Here, we show that NPM1 and NPM1c induce the autophagy-lysosome pathway by activating the master transcription factor TFEB, thereby coordinating the expression of lysosomal proteins and autophagy regulators. Importantly, both NPM1 and NPM1c bind to autophagy modifiers of the GABARAP subfamily through an atypical binding module preserved within its N terminus. The propensity of NPM1c to induce autophagy depends on this module, likely indicating that NPM1c exerts its pro-autophagic activity by direct engagement with GABARAPL1. Our data report a non-canonical binding mode of GABARAP family members that drives the pro-autophagic potential of NPM1c, potentially enabling therapeutic options.
The pyruvate oxidases from Escherichia coli (EcPOX) and Lactobacillus plantarum (LpPOX) are both thiamin-dependent flavoenzymes. Their sequence and structure are closely related, and they catalyse similar reactions—but they differ in their activity pattern: LpPOX is always highly active, EcPOX only when activated by lipids or limited proteolysis, both involving the protein's C-terminal 23 residues (the ‘α-peptide’). Here, we relate the redox-induced infrared (IR) difference spectrum of EcPOX to its unusual activation mechanism. The IR difference spectrum of EcPOX is marked by contributions from the protein backbone, reflecting major conformational changes. A rare sulfhydryl (−SH) difference signal indicates changes in the vicinity of cysteines. We could pin the Cys–SH difference signal to Cys88 and Cys494, both being remote from the moving α-peptide and the redox-active flavin cofactor. Yet, when the α-peptide is proteolytically removed, the Cys–SH difference signal disappears, together with several difference signals in the amide range. The remaining IR signature of the permanently activated EcPOXΔ23 is strikingly similar to the simpler signature of LpPOX. The loss of the α-peptide ‘transforms’ the catalytically complex EcPOX into the catalytically ‘simpler’ LpPOX.
Understanding the functional roles of cells in neuronal circuits and behavior requires the ability to control neuronal activity in an acute and precise way. The field of optogenetics offers a variety of molecular tools to excite or inhibit neurons with light. In the last decade, several strategies have been proposed for reversible silencing of neurotransmission. These tools vary widely in their mechanisms: ranging from opsin-based light-driven ion pumps or anion channels, which are known to hyperpolarize the cell, to alter ionic gradients or cellular biochemistry; over metabotropic receptors, to tools damaging the neurotransmitter release machinery, that allow only long-term silencing as their recovery requires de novo synthesis of targeted proteins. Therefore, the optogenetic toolbox still lacks tools that combine fast activation and fast reversibility with the ability of long-term silencing.
In this study, the optogenetic tool optoSynC (optogenetic synaptic vesicle clustering) was characterized in depth. optoSynC utilizes the light-induced homo-oligomerization of Arabidopsis thaliana cryptochrome 2 (CRY2) for silencing synaptic transmission via clustering of synaptic vesicles (SVs). CRY2 was targeted to the SV membrane by fusion to the SV transmembrane protein synaptogyrin-1 (SNG-1). The silencing kinetics of optoSynC were determined with analyses of swimming and crawling behavior in Caenorhabditis elegans (C. elegans). Pan-neuronally expressed optoSynC reduced swimming locomotion by 80% within 30 s following photo-stimulation (τon ~7.2 s). Locomotion recovered within 15 min in darkness (τoff ~6.5 min). Analysis of crawling behavior indicated even faster activation within 2 s and an almost complete inhibition of the LITE-1-mediated escape response. This escape response occurs at high blue light intensities and results in an increased velocity, which was not detected after optoSynC activation. However, optoSynC can exert its full effect at significantly lower intensities (25 µW/mm²) and is so light-sensitive that it can even be activated at 1.4 µW/mm². optoSynC could be fully recovered and reactivated at least twice without decreased efficiency. With a combination of pharmacological analysis and optogenetics, it has been demonstrated that optoSynC can inhibit neurotransmitter release for several hours. To realize its full potential, optoSynC should be expressed in an sng-1 mutant background. Expression along with endogenous SNG-1 decreases the effectiveness of optoSynC by 50%. Specific expression of optoSynC in cholinergic or GABAergic neurons could robustly inhibit swimming behavior by 55% and 30%, respectively. Moreover, optoSynC can selectively inhibit individual neurons like the nociceptive neuron pair PVD. When PVD is photoactivated by Chrimson, a red-light activatable channelrhodopsin, forward locomotion increases. Activation of optoSynC reduced this behavior by 50%. Besides my experiments in C. elegans, my cooperation partners Dr. Holger Dill and Yilmaz Arda Ateş demonstrated silencing of neurotransmission with optoSynC in zebrafish, and Dr. Shigeki Watanabe and Brady D. Goulden in murine hippocampal neurons.
The clustering of SVs as the mode of action of optoSynC could be confirmed using transmission electron microscopy. Analysis of micrographs of cholinergic synapses stimulated with and without light revealed that distances of neighboring synaptic vesicles in the cytosol were reduced by around 14% after photoactivation. Distances of docked SVs at the plasma membrane remained unaffected. However, near the dense projection, docked SVs accumulated, while other docked SVs were depleted after optoSynC activation. Activation of optoSynC increased the appearances of SVs and dense core vesicles (DCVs) in micrographs. It is unclear whether sizes became physically larger due to lateral pressure by CRY2 aggregates in the SV membrane or if oligomer formation only altered their appearance in micrographs. optoSynC did not accumulate in the plasma membrane to the extent that abnormal structures at the plasma membrane or dense projection were observed. Recycling of SVs remained unaffected by optoSynC as no unusual number of large vesicles was determined. Therefore, optoSynC inhibits neuronal activity mainly by clustering of cytosolic SVs.
To study the precise sequence and timing of events of vesicle mobilization, it is necessary to introduce known stops in the synaptic vesicle cycle which can be achieved by optoSynC. The C. elegans mutation dyn-1(ts-) is a temperature-sensitive dynamin mutation that blocks the recycling of SVs from the plasma membrane and early endosomes at temperatures exceeding 25 °C. By expressing optoSynC in dyn-1(ts-) animals, a novel assay was established, enabling the transfer of SVs between different stages in the SV cycle. Cluster formation of reserve pool SVs blocks the SV cycle before the process of docking and priming begins, while the SV cycle is blocked after the fusion of SVs at high temperatures. It could be demonstrated that behavior returned 15 min after optoSynC activation while animals without optoSynC remained immobile. Unfortunately, the time scale of the recovery from inhibition by optoSynC is too long to effectively study vesicle mobilization.
Lipid acquisition and transport are fundamental processes in all organisms, but many of the key players remain unidentified. In this study, we investigate the lipid-cycling mechanism of the minimal model organism Mycoplasma pneumoniae. We show that the essential protein P116 can extract lipids from the environment but also self- sufficiently deposit them into both eukaryotic cell membranes and liposomes. Our structures and molecular dynamics simulation reveal the mechanism by which the N- terminal region of P116, which resembles an SMP domain, perturbs the membrane, while a hydrophobic pocket exploits the chemical gradient to collect the lipids. Filling of P116 with cargo leads to a conformational change that modulates membrane affinity without consumption of ATP. We show that the Mycoplasmas have one integrated lipid acquisition and delivery machinery that shortcuts the complex multi-protein pathways used by higher developed organisms.
Mycoplasma pneumoniae is a human pathogen causing atypical community-acquired pneumonia. It is a model for a minimal cell, known for its non-canonical use of surface proteins for host-cell adhesion through ectodomain shedding and antigenic variation to evade the host cell immune response. Mpn444 is an essential mycoplasma surface protein implicated in both processes. It is one of 46 lipoproteins of M. pneumoniae, none of which have been structurally or functionally characterized. Here, we report the structure of Mpn444 at 3.04 Å as well as the molecular architecture of the trimeric Mpn444 complex. Our experimental structure displays striking similarity to structure predictions of several other essential lipoproteins in M. pneumoniae and other related Mycoplasma species, suggesting it to have a specialized and conserved function. The essentiality and involvement of Mpn444 in host immune evasion makes our structure a target for the development of new treatment strategies against mycoplasma infections.
Mycoplasma pneumoniae is a human pathogen causing atypical community-acquired pneumonia. It is a model for a minimal cell, known for its non-canonical use of surface proteins for host-cell adhesion through ectodomain shedding and antigenic variation to evade the host cell immune response. Mpn444 is an essential mycoplasma surface protein implicated in both processes. It is one of 46 lipoproteins of M. pneumoniae, none of which have been structurally or functionally characterized. Here, we report the structure of Mpn444 at 3.04 Å as well as the molecular architecture of the trimeric Mpn444 complex. Our experimental structure displays striking similarity to structure predictions of several other essential lipoproteins in M. pneumoniae and other related Mycoplasma species, suggesting it to have a specialized and conserved function. The essentiality and involvement of Mpn444 in host immune evasion makes our structure a target for the development of new treatment strategies against mycoplasma infections.
The β-barrel assembly machinery (BAM) mediates the folding and insertion of the majority of outer membrane proteins (OMPs) in gram-negative bacteria. BAM is a penta-heterooligomeric complex consisting of the central β-barrel BamA and four interacting lipoproteins BamB, C, D, and E. The conformational switching of BamA between inward-open (IO) and lateral-open (LO) conformations is required for substrate recognition and folding. However, the mechanism for the lateral gating or how the structural details observed in vitro correspond with the cellular environment remains elusive. In this study, we addressed these questions by characterizing the conformational heterogeneity of BamAB, BamACDE, and BamABCDE complexes in detergent micelles and/or Escherichia coli using pulsed dipolar electron spin resonance spectroscopy (PDS). We show that the binding of BamB does not induce any visible changes in BamA, and the BamAB complex exists in the IO conformation. The BamCDE complex induces an IO to LO transition through a coordinated movement along the BamA barrel. However, the extracellular loop 6 (L6) is unaffected by the presence of lipoproteins and exhibits large segmental dynamics extending to the exit pore. PDS experiments with the BamABCDE complex in intact E. coli confirmed the dynamic behavior of both the lateral gate and the L6 in the native environment. Our results demonstrate that the BamCDE complex plays a key role in the function by regulating lateral gating in BamA.
Lipopolysaccharides (LPS) confer resistance against harsh conditions, including antibiotics, in Gram-negative bacteria. The lipopolysaccharide transport (Lpt) complex, consisting of seven proteins (A-G), exports LPS across the cellular envelope. LptB2FG forms an ATP-binding cassette transporter that transfers LPS to LptC. How LptB2FG couples ATP binding and hydrolysis with LPS transport to LptC remains unclear. We observed the conformational heterogeneity of LptB2FG and LptB2FGC in micelles and/or proteoliposomes using pulsed dipolar electron spin resonance spectroscopy. Additionally, we monitored LPS binding and release using laser-induced liquid bead ion desorption mass spectrometry. The β-jellyroll domain of LptF stably interacts with the LptG and LptC β-jellyrolls in both the apo and vanadate-trapped states. ATP binding at the cytoplasmic side is allosterically coupled to the selective opening of the periplasmic LptF β-jellyroll domain. In LptB2FG, ATP binding closes the nucleotide binding domains, causing a collapse of the first lateral gate as observed in structures. However, the second lateral gate, which forms the putative entry site for LPS, exhibits a heterogeneous conformation. LptC binding limits the flexibility of this gate to two conformations, likely representing the helix of LptC as either released from or inserted into the transmembrane domains. Our results reveal the regulation of the LPS entry gate through the dynamic behavior of the LptC transmembrane helix, while its β-jellyroll domain is anchored in the periplasm. This, combined with long-range ATP-dependent allosteric gating of the LptF β-jellyroll domain, may ensure efficient and unidirectional transport of LPS across the periplasm.
K + is the most abundant cytosolic cation in bacteria, and its homeostasis is vital for bacterial survival, playing roles in many essential processes like pH homeostasis, protein synthesis and osmoregulation. When surrounding K + concentrations become very low, bacteria require an active high-affinity uptake system to ensure sufficient cellular K + levels. In many prokaryotes, this system is the K + pump KdpFABC. Peculiarly, KdpFABC forms a functional chimera between a channel-like subunit (KdpA) and a P-type ATPase (KdpB), and for a long time, the mechanism of how transport and ATP hydrolysis between these subunits are coordinated remained unclear. By applying a combination of cryo-EM, biochemical assays, and MD simulations, we have been able to shed light on a unique transport mechanism that combines both the channel and P-type ATPase subunits.
At high K + levels, KdpFABC needs to be inhibited to prevent excessive K + accumulation. This is achieved by a phosphorylation of the serine residue in the TGES 162 motif in the A domain of the pump subunit KdpB, which was shown to stall the complex in the E1P intermediate. Using cryo-EM studies under turnover conditions, we illuminated how stalling in this high-energy intermediate is possible.
Furthermore, we identify a previously uncharacterized atypical serine kinase domain in the sensor histidine kinase KdpD as the responsible kinase for KdpB phosphorylation, giving it a dual role in transcriptional and post-translational regulation of the Kdp system.
Amyloid pathology reduces ELP3 expression and tRNA modifications leading to impaired proteostasis
(2023)
Highlights
• Amyloid pathology impacts the tRNA epitranscriptome.
• Expression of the tRNA modifying enzyme ELP3 is reduced in the brains of Alzheimer's disease (AD) patients.
• Expression levels of ELP3 negatively correlate with amyloid plaque burden in AD.
• ELP3 and ELP3-tRNA dependent modifications are relevant for maintaining neuronal proteostasis.
• ELP3 differential expression and tRNA hypomodification are cellular responses to the accumulation of toxic Aβ forms.
Abstract
Alzheimer's Disease (AD) is a neurodegenerative disorder characterized by accumulation of β-amyloid aggregates and loss of proteostasis. Transfer RNA (tRNA) modifications play a crucial role in maintaining proteostasis, but their impact in AD remains unclear. Here, we report that expression of the tRNA modifying enzyme ELP3 is reduced in the brain of AD patients and amyloid mouse models and negatively correlates with amyloid plaque mean density. We further show that SH-SY5Y neuronal cells carrying the amyloidogenic Swedish familial AD mutation (SH-SWE) display reduced ELP3 levels, tRNA hypomodifications and proteostasis impairments when compared to cells not carrying the mutation (SH-WT). Additionally, exposing SH-WT cells to the secretome of SH-SWE cells led to reduced ELP3 expression, wobble uridine tRNA hypomodification, and increased protein aggregation. Importantly, correcting tRNA deficits due to ELP3 reduction reverted proteostasis impairments. These findings suggest that amyloid pathology dysregulates proteostasis by reducing ELP3 expression and tRNA modification levels, and that targeting tRNA modifications may be a potential therapeutic avenue to restore neuronal proteostasis in AD and preserve neuronal function.
Ataxia telangiectasia is a monogenetic disorder caused by mutations in the ATM gene. Its encoded protein kinase ATM plays a fundamental role in DNA repair of double strand breaks (DSBs). Impaired function of this kinase leads to a multisystemic disorder including immunodeficiency, progressive cerebellar degeneration, radiation sensitivity, dilated blood vessels, premature aging and a predisposition to cancer. Since allogenic hematopoietic stem cell (HSC) transplantation improved disease outcome, gene therapy based on autologous HSCs is an alternative promising concept. However, due to the large cDNA of ATM (9.2 kb), efficient packaging of retroviral particles and sufficient transduction of HSCs remains challenging.
We generated lentiviral, gammaretroviral and foamy viral vectors with a GFP.F2A.Atm fusion or a GFP transgene and systematically compared transduction efficiencies. Vector titers dropped with increasing transgene size, but despite their described limited packaging capacity, we were able to produce lentiviral and gammaretroviral particles. The reduction in titers could not be explained by impaired packaging of the viral genomes, but the main differences occurred after transduction. Finally, after transduction of Atm-deficient (ATM-KO) murine fibroblasts with the lentiviral vector expressing Atm, we could show the expression of ATM protein which phosphorylated its downstream substrates (pKap1 and p-p53).
Ataxia Telangiectasia (A-T) is a rare monogenetic, autosomal recessive disorder with an incidence of 1 in 40,000-100,000 live births caused by mutations in the ataxia telangiectasia mutated (ATM) gene. The encoded serine/threonine protein kinase (ATM) plays a major role in DNA damage response as well as apoptosis, cell cycle regulation, cell survival, oxidative stress response and genomic stability. Biallelic mutations result in partial or complete loss of ATM expression and/or ATM protein activity. A-T is a disease characterized by progressive cerebellar degeneration, telangiectasia, immunodeficiency (impaired B- and T-cell development), recurrent sinopulmonary infections, radiation sensitivity, premature aging, and a predisposition to cancer. Life expectancy of these patients is highly compromised, with only around 50% expected to reach 20 years of age. Malignancies and pulmonary diseases are the two main causes of death. There is currently no therapy available for A-T patients. There are symptomatic treatments available (e.g. immunoglobulin replacement therapy, therapy with antioxidants, and the administration of growth hormone or glucocorticoids as anti- inflammatory hormones) and in some patients, allogeneic hematopoietic stem cell transplantations from matched donors were performed with improved disease outcome. Unfortunately, suitable donors are not available for most patients. An autologous hematopoietic stem cell (HSC)-directed gene therapy approach is a promising alternative, since no matching donor is needed. The patient’s own cells are used, modified ex-vivo (e.g. delivering a healthy copy of the gene with viral vectors or directly correcting the mutation with gene editing). Afterwards, modified HSCs are given back to the patient thereby repopulating the bone marrow and re-establishing the whole blood system. The aim of this project was to develop a gene transfer tool for Atm.
In the first part of this project, retroviral vectors containing the full-length murine Atm cDNA were generated. Gene transfer of Atm with retroviral vectors is challenging, as the Atm cDNA is 9.1 kb in size reaching the packaging capacity of retroviral vectors. Although the foamy viral vector is described to have superior abilities to transfer large sequences, produced titers of the foamy viral Atm vectors were low and transductions of Atm-deficient fibroblasts were inefficient. In contrast, gene transfer of Atm with gammaretroviral and lentiviral vectors was possible, and because lentiviral vectors harboring the full-length Atm coding sequence were produced with the highest viral titers, this vector was used to transduce Atm-deficient fibroblasts. Following transduction, ATM protein levels were restored (40 - 50% of wild-type level). In addition, transduced cells showed increased levels of phosphorylated ATM downstream substrates (γH2AX, pKap1 and p-p53) after irradiation, demonstrating functional reconstitution. However, efficient transduction of murine lineage marker negative cells, the target cells for an Atm gene therapy approach, was not possible and viability of these cells was highly compromised after transduction.
Therefore, a dual vector system was developed in the second part of the project to circumvent the packaging limit of retroviral vectors. Protein halves were fused with split inteins which catalyze their self-excision followed by the formation of a full-length protein in a process called protein trans-splicing. The split Atm cDNA was delivered with lentiviral vectors and sufficient viral titers were achieved for efficient double transduction of Atm-deficient fibroblasts. Whereas the reconstitution of full-length ATM protein was low in cells transduced with vectors containing Npu split inteins, the use of Rma split inteins showed superior reconstitution. When comparing reconstitution levels with two different split sites within the ATM protein, no major differences were observed. Because a proof of ATM functionality could not be shown with these vector pairs, the F2A site used to co-deliver a marker gene was replaced by an IRES element. After transduction with split intein Atm vectors containing IRES elements, the level of ATM protein reached only 10% of the wild-type level. Nevertheless, an increased amount of pKap1 and p-p53 was detected demonstrating a functional kinase activity of reconstituted ATM protein. Furthermore, a partial repair of cell cycle defects in Atm-deficient fibroblasts was demonstrated.
In parallel to the development of a gene transfer tool for Atm, preliminary experiments were performed in Atm-deficient mice to create optimal transplantation conditions for gene-corrected HSCs that could be performed in the future. Because Atm-deficient mice are highly sensitive to irradiation, conventional conditioning regimes (e.g. total body irradiation or myeloablative conditioning with chemotherapeutics) cannot be used prior to HSC transplantation. Therefore, Atm-deficient mice were pretreated with different conditioning regimens and subsequently received a bone marrow transplantation. Mice that did not receive preconditioning prior to transplantation showed no chimerism in peripheral blood, bone marrow or spleen samples, indicating that preconditioning of mice is required for donor cell engraftment. A non-myeloablative conditioning regimen with cyclophosphamide and immunosuppressive CD4 and CD8 antibodies and the application of a mobilizing agent (Plerixafor) one hour before transplantation showed the highest chimerism in recipient mice. None of the mice developed a thymic tumor, and lymphoid-biased differentiation of the donor cells was observed, as chimerism was highest in T cells in the blood, bone marrow and spleen. In addition, chimerism was higher in lymphoid progenitor cells than in myeloid progenitors. Blood counts (white blood cell and lymphocyte counts) were normal 20 weeks after transplantation (comparable to wild-type mice), making this preconditioning regime suitable for Atm-deficient mice.
Taken together, this data paves the way for using split intein-based lentiviral vectors for Atm delivery in preclinical models and opens new possibilities for developing gene therapy for A-T patients.
Generation of an efficient agent-based framework for the simulation of 3D multicellular systems
(2024)
In developmental biology, the focus has shifted from mainly considering genetic and molecular aspects to considering mechanical aspects, as it has become evident in recent years that mechanical forces, tensions, and physical interactions play a significant role alongside molecular mechanisms in developmental biology. Computational models provide a useful tool for the investigation of the complex cell choreography in tissue and organ development. In particular, they allow the identification of principles governing complex behaviours and greatly contribute to understanding self-organising systems. Agent-based models act as a ”virtual laboratory”, facilitating the formulation and testing of biological hypotheses.
In this work, a mathematical model is formulated to describe the dynamics and interactions of multicellular systems. This model formulation results in a large system of coupled stochastic differential equations. Furthermore, a simulation framework is introduced to solve the system of coupled stochastic differential equations numerically. In particular, mechanical processes such as cell-cell interactions, cell growth and division, cell polarity, and active migration are considered. Firstly, a CPU-based version of the simulation framework, implemented in Python and MATLAB, is presented. This version also provides scientists with limited programming experience the abil- ity to simulate systems involving several thousand cells. Additionally, a GPU-based framework version, implemented in CUDA and C++, is introduced. This version primarily targets modellers with advanced programming knowledge. It significantly reduces simulation runtime, allows for the simulation of very large systems, and incorporates additional extensions.
The implemented CPU-based simulation framework was applied to two different biological systems. The first application concerned inner cell mass organoids (ICM organoids), which serve as an experimental model system to study early embryogenesis. In particular, ICM organoids reflect the second cell fate decision, i.e., the differentiation into embryonic tissue and yolk sac, as well as subsequent cell sorting. Using the presented simulation framework, it was demonstrated that the experimentally observed local clustering of cell types can be attributed to mechanical processes, specifically cell growth, cell division, and cell fate inheritance. These results provide evidence that molecular cell fate determination occurs within a short period during the early development of ICM organoids, and that mechanical processes and interactions predominantly characterise subsequent processes. Furthermore, it was shown that differential adhesion and undirected cell movement in a three-dimensional system are sufficient to drive the segregation of different cell types.
The second biological application focused on pancreas-derived organoids, which simulate organ development, in this case, pancreas development. These organoids exhibit high variability in their qualitative behaviour, including volume oscillations, rotation and migration, fusions, and the formation of internal structures. The presented simulation framework was applied to the volume oscillations of the organoids. It was demonstrated that these oscillations depend significantly on the cell division dynamics and size of the organoids, as well as the elasticity and adhesion strength of the cells.
Both biological applications of the framework illustrate its modular structure and, thus, its adaptability to various biological systems. They also emphasise that mechanical processes play a fundamental role in the self-organisation of complex systems. The presented framework en- ables the efficient modelling of multicellular systems and serves as an effective tool for explaining complex behaviour by coupling simple underlying mechanisms.
The genetic make-up of an individual contributes to the susceptibility and response to viral infection. Although environmental, clinical and social factors have a role in the chance of exposure to SARS-CoV-2 and the severity of COVID-191,2, host genetics may also be important. Identifying host-specific genetic factors may reveal biological mechanisms of therapeutic relevance and clarify causal relationships of modifiable environmental risk factors for SARS-CoV-2 infection and outcomes. We formed a global network of researchers to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity. Here we describe the results of three genome-wide association meta-analyses that consist of up to 49,562 patients with COVID-19 from 46 studies across 19 countries. We report 13 genome-wide significant loci that are associated with SARS-CoV-2 infection or severe manifestations of COVID-19. Several of these loci correspond to previously documented associations to lung or autoimmune and inflammatory diseases3,4,5,6,7. They also represent potentially actionable mechanisms in response to infection. Mendelian randomization analyses support a causal role for smoking and body-mass index for severe COVID-19 although not for type II diabetes. The identification of novel host genetic factors associated with COVID-19 was made possible by the community of human genetics researchers coming together to prioritize the sharing of data, results, resources and analytical frameworks. This working model of international collaboration underscores what is possible for future genetic discoveries in emerging pandemics, or indeed for any complex human disease.
We introduce a platform for the fabrication of customizable wound healing dressing. The platform integrates electrospun nanofibers, bioprinted hydrogels, and cellular spheroids into hierarchical, fiber-reinforced hybrid constructs. The construct leverages the mechanical strength of polycaprolactone (PCL) nanofibers and the ECM-like properties of GelMA/PEGDA hydrogel. These materials support the incorporation of bone marrow-derived mesenchymal stem cell (BM-hMSC) spheroids, which act as a supportive “cell niche,” enhancing the viability of the hMSC during and after bioprinting, and facilitating their spreading across the construct during the maturation phase. The characterization of the hybrid constructs demonstrated strong structural integrity and enhanced mechanical properties, making them well-suited for clinical wound dressing applications. In vitro assays, including live/dead staining, MTT assays, and scratch assays, revealed increased cell attachment, proliferation, and migration. The spheroids maintained their viability over extended periods, significantly contributing to wound closure in the scratch assay. This innovative approach, which combines electrospinning and light-based bioprinting, offers a promising strategy for the development of customizable wound dressings that closely adapt to the complex architecture of human skin. The bioprinting approach allows for the creation of tailored geometries for specific clinical requirements. Future research will focus on optimizing scaffold design and conducting long-term in vivo studies to validate the platform’s clinical potential.
In integrative structural biology/hybrid modeling approaches, we integrate structural models of macromolecules and experimental data to obtain faithful representations of the structures underlying the data. For example, in ensemble refinement by reweighting we first generate structural ensembles of flexible and dynamic biological macromolecules in molecular simulations. In a subsequent reweighting step, we refine the statistical weights of the structures to strike a balance between the information provided by simulations and by experimental data. For the "Bayesian inference of ensembles" approach (BioEn), we present two complementary methods to solve the underlying challenging high-dimensional optimization problem. We systematically investigate reliability, accuracy, and efficiency of these methods and integrate molecular dynamics simulations of the disordered peptide Ala-5 and NMR J-couplings. We provide an open-source library free of charge at https://github.com/bio-phys/BioEn.
In integrative structural biology/hybrid modeling approaches, we integrate structural models of macromolecules and experimental data to obtain faithful representations of the structures underlying the data. For example, in ensemble refinement by reweighting we first generate structural ensembles of flexible and dynamic biological macromolecules in molecular simulations. In a subsequent reweighting step, we refine the statistical weights of the structures to strike a balance between the information provided by simulations and by experimental data. For the "Bayesian inference of ensembles" approach (BioEn), we present two complementary methods to solve the underlying challenging high-dimensional optimization problem. We systematically investigate reliability, accuracy, and efficiency of these methods and integrate molecular dynamics simulations of the disordered peptide Ala-5 and NMR J-couplings. We provide an open-source library free of charge at https://github.com/bio-phys/BioEn.
Ensemble refinement produces structural ensembles of flexible and dynamic biomolecules by integrating experimental data and molecular simulations. Here we present two efficient numerical methods to solve the computationally challenging maximum-entropy problem arising from a Bayesian formulation of ensemble refinement. Recasting the resulting constrained weight optimization problem into an unconstrained form enables the use of gradient-based algorithms. In two complementary formulations that differ in their dimensionality, we optimize either the log-weights directly or the generalized forces appearing in the explicit analytical form of the solution. We first demonstrate the robustness, accuracy, and efficiency of the two methods using synthetic data. We then use NMR J-couplings to reweight an all-atom molecular dynamics simulation ensemble of the disordered peptide Ala-5 simulated with the AMBER99SB*-ildn-q force field. After reweighting, we find a consistent increase in the population of the polyproline-II conformations and a decrease of α-helical-like conformations. Ensemble refinement makes it possible to infer detailed structural models for biomolecules exhibiting significant dynamics, such as intrinsically disordered proteins, by combining input from experiment and simulation in a balanced manner.
Tubulogenesis is essential for the formation and function of internal organs. One such organ is the trachea, which allows gas exchange between the external environment and the lungs. However, the cellular and molecular mechanisms underlying tracheal tube development remain poorly understood. Here, we show that the potassium channel KCNJ13 is a critical modulator of tracheal tubulogenesis. We identify Kcnj13 in an ethylnitrosourea forward genetic screen for regulators of mouse respiratory organ development. Kcnj13 mutants exhibit a shorter trachea as well as defective smooth muscle (SM) cell alignment and polarity. KCNJ13 is essential to maintain ion homeostasis in tracheal SM cells, which is required for actin polymerization. This process appears to be mediated, at least in part, through activation of the actin regulator AKT, as pharmacological increase of AKT phosphorylation ameliorates the Kcnj13 mutant trachea phenotypes. These results provide insights into the role of ion homeostasis in cytoskeletal organization during tubulogenesis.